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Generation mechanism of a hierarchy of vortices in a turbulent boundary layer

Published online by Cambridge University Press:  28 February 2019

Yutaro Motoori*
Affiliation:
Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama, Toyonaka, Osaka, 560-8531, Japan
Susumu Goto*
Affiliation:
Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama, Toyonaka, Osaka, 560-8531, Japan
*
†Email addresses for correspondence: y_motoori@fm.me.es.osaka-u.ac.jp, goto@me.es.osaka-u.ac.jp
†Email addresses for correspondence: y_motoori@fm.me.es.osaka-u.ac.jp, goto@me.es.osaka-u.ac.jp

Abstract

To understand the generation mechanism of a hierarchy of multiscale vortices in a high-Reynolds-number turbulent boundary layer, we conduct direct numerical simulations and educe the hierarchy of vortices by applying a coarse-graining method to the simulated turbulent velocity field. When the Reynolds number is high enough for the premultiplied energy spectrum of the streamwise velocity component to show the second peak and for the energy spectrum to obey the $-5/3$ power law, small-scale vortices, that is, vortices sufficiently smaller than the height from the wall, in the log layer are generated predominantly by the stretching in strain-rate fields at larger scales rather than by the mean-flow stretching. In such a case, the twice-larger scale contributes most to the stretching of smaller-scale vortices. This generation mechanism of small-scale vortices is similar to the one observed in fully developed turbulence in a periodic cube and consistent with the picture of the energy cascade. On the other hand, large-scale vortices, that is, vortices as large as the height, are stretched and amplified directly by the mean flow. We show quantitative evidence of these scale-dependent generation mechanisms of vortices on the basis of numerical analyses of the scale-dependent enstrophy production rate. We also demonstrate concrete examples of the generation process of the hierarchy of multiscale vortices.

Information

Type
JFM Papers
Copyright
© 2019 Cambridge University Press 
Figure 0

Figure 1.Wall-normal profiles of (a) the mean streamwise velocity and (b) the root-mean-square values of the fluctuation velocity components and the turbulent stress. Red line, the present DNS at $Re_{\unicode[STIX]{x1D703}}=1410$; blue line, the present DNS at $Re_{\unicode[STIX]{x1D703}}=3030$; open circles, Schlatter & Örlü (2010) at $Re_{\unicode[STIX]{x1D703}}=1410$; open squares, Schlatter & Örlü (2010) at $Re_{\unicode[STIX]{x1D703}}=3030$. In (a) the grey dashed lines indicate the law of the wall: $U^{+}=y^{+}$ and $U^{+}=(1/\unicode[STIX]{x1D705})\ln (y^{+})+B$, with $\unicode[STIX]{x1D705}=0.384$ and $B=4.1$.

Figure 1

Table 1.Numerical parameters of the DNS. Here, $L_{x},~L_{y}$ and $L_{z}$ are the sides of the computational domain (where $\unicode[STIX]{x1D703}_{in}$ is the momentum thickness at the inlet), $N_{x},~N_{y}$ and $N_{z}$ are the numbers of grid points, and $\unicode[STIX]{x0394}x^{+},\unicode[STIX]{x0394}y_{min}^{+}$ and $\unicode[STIX]{x0394}z^{+}$ are the resolutions at the downstream exit.

Figure 2

Figure 2.(a) Spanwise energy spectrum $E_{uu}^{+}$ (non-dimensionalized by the mean energy dissipation rate $\overline{\unicode[STIX]{x1D716}}$ and by $\unicode[STIX]{x1D708}$) of the streamwise velocity component at three heights, $y^{+}=10$ (red), $70$ (green) and $200$ (blue), at a streamwise location corresponding to $Re_{\unicode[STIX]{x1D703}}=3170$. The grey dashed line indicates the $-5/3$ power law, $E_{uu}\propto k_{z}^{-5/3}$. (b) The same as in (a) but in wall units. The arrows indicate the spanwise wavenumber ($k_{z}^{+}=1/\unicode[STIX]{x1D70E}^{+}$) corresponding to the three filter scales in figure 4. (c) Premultiplied spanwise energy spectrum $k_{z}^{+}E_{uu}^{+}$ of the streamwise velocity component at $Re_{\unicode[STIX]{x1D703}}=3170$ as a function of the height $y^{+}$ and the spanwise wavelength $\unicode[STIX]{x1D706}_{z}^{+}$. The coloured lines indicate the heights for which $E_{uu}$ is shown in (a) and (b).

Figure 3

Figure 3.Isosurfaces of the second invariant $Q^{+}~(=1.6\times 10^{-3})$ of the velocity gradient tensor. The threshold is set as $m_{Q}+0.4s_{Q}$. The colour indicates the streamwise velocity $u$, ranging from $u=0$ (blue) to $u=U_{\infty }$ (red). Half of the spanwise direction of the computational domain is visualized. The Reynolds number $Re_{\unicode[STIX]{x1D703}}$ changes from $2940$ to $3170$ in the streamwise direction. The flow is from lower left to upper right. The black grid width is $200$ wall units evaluated at the plane corresponding to $Re_{\unicode[STIX]{x1D703}}=2860$, and the blue solid line indicates the $99\,\%$ boundary layer thickness $\unicode[STIX]{x1D6FF}_{99}$.

Figure 4

Figure 4.Isosurfaces of the second invariant of the velocity gradient tensor coarse-grained at (a) $\unicode[STIX]{x1D70E}^{\oplus }=10$, (b) $40$ and (c) $160$ at the same instant and location as in figure 3. Thresholds are set as $Q=m_{Q}+0.5s_{Q}$, namely, (a) $Q^{(\unicode[STIX]{x1D70E})+}=1.6\times 10^{-3}$, (b) $3.8\times 10^{-4}$ and (c) $2.9\times 10^{-5}$. The black grid width is $200$ wall units evaluated at the plane corresponding to $Re_{\unicode[STIX]{x1D703}}=2860$, and the blue solid line indicates the $99\,\%$ boundary layer thickness $\unicode[STIX]{x1D6FF}_{99}$. (d) All structures in (a–c) are simultaneously visualized.

Figure 5

Figure 5.Wall-normal distribution of each term of (3.5) at the streamwise location corresponding to $Re_{\unicode[STIX]{x1D703}}=3170$. Red, $2\overline{\overline{\unicode[STIX]{x1D714}_{i}}\unicode[STIX]{x1D61A}_{ij}^{\prime }\unicode[STIX]{x1D714}_{j}^{\prime }}^{+}$; green, $\overline{\unicode[STIX]{x1D714}_{i}^{\prime }\overline{\unicode[STIX]{x1D61A}_{ij}}\unicode[STIX]{x1D714}_{j}^{\prime }}^{+}$; blue, $\overline{\unicode[STIX]{x1D714}_{i}^{\prime }\unicode[STIX]{x1D61A}_{ij}^{\prime }\unicode[STIX]{x1D714}_{j}^{\prime }}^{+}$. The inset shows the close-up for the range $10^{2}\leqslant y^{+}\leqslant 10^{3}$.

Figure 6

Figure 6.Contribution (3.6) of the strain rate coarse-grained at $\unicode[STIX]{x1D70E}_{S}$ to the stretching of vortices at $\unicode[STIX]{x1D70E}_{\unicode[STIX]{x1D714}}^{+}=10~(\circ )$, $20~(\Box )$, $40~(\triangle )$, $80~(\bullet )$ and $160~(\blacksquare )$ for $Re_{\unicode[STIX]{x1D703}}=3170$ at (a) $y^{+}=300$, (b) $100$ and (c) $40$. The larger symbols correspond to the self-contribution ($\unicode[STIX]{x1D70E}_{s}^{+}=\unicode[STIX]{x1D70E}_{\unicode[STIX]{x1D714}}^{+}$). Blue symbols indicate the contributions (3.7) from the mean stretching.

Figure 7

Figure 7.Same as in figure 6 at (a) $y^{+}=160$ and (b) $y^{+}=60$ (i.e. $y/\unicode[STIX]{x1D6FF}_{99}\approx 0.3$) for lower Reynolds numbers (a) $Re_{\unicode[STIX]{x1D703}}=1640$ and (b) $440$.

Figure 8

Figure 8.The ratio (3.8) between the contribution of strain rate coarse-grained at $\unicode[STIX]{x1D70E}_{S}^{+}=20$ to the stretching of vortices coarse-grained at $\unicode[STIX]{x1D70E}_{\unicode[STIX]{x1D714}}^{+}=10$ and the contribution of the mean flow as a function of $Re_{\unicode[STIX]{x1D703}}$ and the height $y^{+}$. The blue line indicates the crossover ($\unicode[STIX]{x1D6E4}=1$) of the dominance of the stretching from the mean flow to large-scale vortices. Only the region $y^{+}<\unicode[STIX]{x1D6FF}_{99}^{+}$ is plotted.

Figure 9

Figure 9.Taylor-length-based Reynolds number $Re_{\unicode[STIX]{x1D706}}$ as a function of $Re_{\unicode[STIX]{x1D703}}$ and $y^{+}$. Only the region $y^{+}<\unicode[STIX]{x1D6FF}_{99}^{+}$ is plotted.

Figure 10

Figure 10.The ratio (3.8) between the contribution of strain rates coarse-grained at $2\unicode[STIX]{x1D70E}_{\unicode[STIX]{x1D714}}^{+}$ to the stretching of vortices coarse-grained at $\unicode[STIX]{x1D70E}_{\unicode[STIX]{x1D714}}^{+}$ and the contribution of the mean flow as a function of $\unicode[STIX]{x1D70E}_{\unicode[STIX]{x1D714}}^{+}$ and $y^{+}$ for $Re_{\unicode[STIX]{x1D703}}=3170$. Blue line, the crossover ($\unicode[STIX]{x1D6E4}=1$) of the dominance of the stretching from the mean flow to large-scale vortices; red line, $\unicode[STIX]{x1D70E}_{\unicode[STIX]{x1D714}}=5\unicode[STIX]{x1D702}$; green dotted line, $\unicode[STIX]{x1D70E}_{\unicode[STIX]{x1D714}}=0.7L_{c}$; black dashed line, $\unicode[STIX]{x1D70E}_{\unicode[STIX]{x1D714}}=y/5$. The contours are plotted by the interpolation of $\unicode[STIX]{x1D6E4}$ evaluated for the four cases ($\unicode[STIX]{x1D70E}_{\unicode[STIX]{x1D714}}^{+}=10$, $20$, $40$ and $80$).

Figure 11

Figure 11.Conditional p.d.f. of the alignment between the vorticity coarse-grained at (a) $\unicode[STIX]{x1D70E}_{\unicode[STIX]{x1D714}}^{+}=20$ ($\unicode[STIX]{x1D70E}_{\unicode[STIX]{x1D714}}\approx 6\unicode[STIX]{x1D702}$) and (b) $\unicode[STIX]{x1D70E}_{\unicode[STIX]{x1D714}}^{+}=10$ ($\unicode[STIX]{x1D70E}_{\unicode[STIX]{x1D714}}\approx 4\unicode[STIX]{x1D702}$) and the first eigenvector of the rate-of-strain tensor coarse-grained at $\unicode[STIX]{x1D70E}_{S}=1/2\unicode[STIX]{x1D70E}_{\unicode[STIX]{x1D714}}$ (grey solid line), $\unicode[STIX]{x1D70E}_{S}=\unicode[STIX]{x1D70E}_{\unicode[STIX]{x1D714}}$ (dashed line), $\unicode[STIX]{x1D70E}_{S}=2\unicode[STIX]{x1D70E}_{\unicode[STIX]{x1D714}}$ (dot-dashed line), $\unicode[STIX]{x1D70E}_{S}=4\unicode[STIX]{x1D70E}_{\unicode[STIX]{x1D714}}$ (double dot-dashed line, blue) and $\unicode[STIX]{x1D70E}_{S}=8\unicode[STIX]{x1D70E}_{\unicode[STIX]{x1D714}}$ (triple dot-dashed line) at two different positions: (a) $y^{+}=300$ for $Re_{\unicode[STIX]{x1D703}}=3170$; and (b) $y^{+}=60$ for $Re_{\unicode[STIX]{x1D703}}=440$. The black solid line denotes the conditional p.d.f. of $|\!\cos \unicode[STIX]{x1D703}_{M}|$.

Figure 12

Figure 12.Conditional p.d.f. of the alignment between the vorticity coarse-grained at $\unicode[STIX]{x1D70E}_{\unicode[STIX]{x1D714}}^{+}=10$ (very light grey), $\unicode[STIX]{x1D70E}_{\unicode[STIX]{x1D714}}^{+}=20$ (light grey), $\unicode[STIX]{x1D70E}_{\unicode[STIX]{x1D714}}^{+}=40$ (grey), $\unicode[STIX]{x1D70E}_{\unicode[STIX]{x1D714}}^{+}=80$ (dark grey) and $\unicode[STIX]{x1D70E}_{\unicode[STIX]{x1D714}}^{+}=160$ (black) and the stretching direction of the mean flow at $y^{+}=300$ for $Re_{\unicode[STIX]{x1D703}}=3170$.

Figure 13

Figure 13.Isosurfaces of the second invariant of the coarse-grained velocity gradient tensor. The coarse-graining scale is $\unicode[STIX]{x1D70E}^{\oplus }=80$, the threshold is chosen as $m_{Q}+0.5s_{Q}~(=1.2\times 10^{-4})$, and the Reynolds number changes as $Re_{\unicode[STIX]{x1D703}}=2670{-}3170$. The flow is from lower left to upper right. The black grid width is $200$ wall units evaluated at the plane corresponding to $Re_{\unicode[STIX]{x1D703}}=2860$, and the blue solid line indicates the $99\,\%$ boundary layer thickness $\unicode[STIX]{x1D6FF}_{99}$.

Figure 14

Figure 14.An example of the generation process of small-scale vortices (v1, v2 and v3) around a large-scale hairpin-like vortex. Only a small domain in figure 13 is shown. The flow is from lower left to upper right. The two different colours correspond to the isosurfaces of the second invariant of the velocity gradient tensor coarse-grained at two different scales: yellow, $\unicode[STIX]{x1D70E}^{\oplus }=80$; and blue, $40$. Thresholds are set as $m_{Q}+0.5s_{Q}$. Time elapses as (a) $t^{\oplus }=0$, (b) $30$ and (c) $74$. (d) The isosurfaces of $\unicode[STIX]{x1D61A}_{ij}^{\prime (\unicode[STIX]{x1D70E})}\unicode[STIX]{x1D61A}_{ij}^{\prime (\unicode[STIX]{x1D70E})}$ coarse-grained at $\unicode[STIX]{x1D70E}^{\oplus }=80$ with the threshold $3.8\times 10^{-4}$ are also shown at the same time as in (c). The black grid width on the wall is the same as in figure 13. Small-scale vortices are visualized in the region $200\lesssim y^{+}\lesssim 670$.

Figure 15

Figure 15.Other examples of the generation process of small-scale vortices (v4, v5 and v6) around a large-scale (a–c) one-legged hairpin-like vortex and (d–f) stretching-direction vortex in figure 13. The flow is from lower left to upper right. The two different colours correspond to the isosurfaces of the second invariant of the velocity gradient tensor coarse-grained at two different scales: yellow, $\unicode[STIX]{x1D70E}^{\oplus }=80$; blue, $40$. Thresholds are set as $m_{Q}+0.5s_{Q}$. Time elapses as (a) $t^{\oplus }=0$, (b) $22$, (c) $45$, (d) $0$, (e) $15$ and (f) $30$. The black grid width on the wall is the same as in figure 13. Small-scale vortices are visualized in the region $450\lesssim y^{+}\lesssim 750$.

Figure 16

Figure 16.Isosurfaces of the second invariant $Q^{+}~(=4.0\times 10^{-2})$ of the velocity gradient tensor. The colour indicates the streamwise velocity $u$, ranging from $u=0$ (blue) to $u=U_{\infty }$ (red). Half of the spanwise direction of the computational domain is visualized. The Reynolds number $Re_{\unicode[STIX]{x1D703}}$ changes from $180$ to $370$. The flow is from lower left to upper right.

Figure 17

Table 2.Parameters of the DNS of the laminar–turbulent transition. Here, $L_{x},~L_{y}$ and $L_{z}$ are the sides of the computational domain, $N_{x},~N_{y}$ and $N_{z}$ are the numbers of grid points, and $\unicode[STIX]{x0394}x^{+},\unicode[STIX]{x0394}y_{min}^{+}$ and $\unicode[STIX]{x0394}z^{+}$ are the resolutions at the exit.